Senior Analytics & Insights Engineer - Hybrid

Position Overview

• Location Type: Hybrid
• Job Type: Full time
• Salary: Not specified

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

As we scale our self-service analytics and AI capabilities, we’re looking for a Senior Analytics & Insights Engineer to develop scalable data solutions and intuitive tools that bring insights directly to business teams. The Senior Analytics & Insights Engineer plays a critical role in delivering trusted, scalable analytics solutions to stakeholders across Sales, Finance, and GTM. Working closely with data engineering, you’ll help shape data models and pipelines that serve as the foundation for high-impact dashboards and predictive analytics. You’ll design user-centric tools that empower teams to explore data, gain insights, and make better decisions — powered by platforms like Vertex AI, BigQuery ML, and Tableau.

Requirements

• Experience with data modeling and semantic layers (e.g., dbt, Atlan, BigQuery)
• Proficiency in building and maintaining dashboards in Tableau
• Knowledge of Machine Learning (ML) concepts and experience with AutoML and BigQuery ML
• Ability to translate business requirements into analytics products
• Experience designing user-friendly, AI-powered self-service tools
• Understanding of data governance, data quality, and documentation standards

Responsibilities

• Collaborate with data engineering to define and refine scalable data models and semantic layers.
• Build and maintain intuitive dashboards in Tableau that provide actionable insights.
• Develop and deploy ML models using AutoML and BigQuery ML to support forecasting, lead scoring, and other business use cases.
• Translate business requirements into analytics products that are accessible, performant, and easy to adopt.
• Design user-friendly, AI-powered self-service tools to improve decision-making across teams.
• Ensure governance, data quality, and documentation standards are consistently applied.
• Act as a liaison between technical teams and business stakeholders to ensure analytical solutions align with strategic goals.
• Lead complex cross-functional analytics projects that guide business decision-making.
• Help define best practices for scalable analytics design and contribute to long-term data strategy.

Application Instructions

• Not specified in the provided text. (Please refer to LiveRamp's careers page for application details.)

Company Information

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.